Document Details

Document Type : Thesis 
Document Title :
WORKER S PRIVACY PROTECTION IN MOBILE CROWDSOURCING PLATFORM
حماية خصوصية المستخدم في منصة التعهيد الجماعي المحمول
 
Subject : Faculty of Computing and Information Technology 
Document Language : Arabic 
Abstract : Workers Privacy Protection in Mobile Crowdsourcing Platform Amal Abduallah Albilali ABSTRACT In recent years, the spread of mobile networking and the increasing effect of smartphone devices capability has led to the development of "Mobile Crowdsourcing" applications. Many participants (individual workers) participate in performing different tasks, collecting data and sharing their work in a wide range of application areas. One of the most important issues in the mobile crowdsourcing application is the privacy preservation for the participants, such as their identity and their location. Most of the existing techniques and algorithms to protect the privacy of the participants focus on the identity or the location as individual issues and almost these techniques depend on Trusted Third Party’s (TTP). However, in our research, we will implement the Mobile Crowdsourcing Privacy Protection the (MCPP) approach for protecting both the identity and the location to increase the privacy protection for the participants. Also, we aim to reduce the communication overhead and execution time by avoiding using TTP. We achieved our goals by combining RSA algorithm to blind the worker ID and encryption his/her location with the usage of a secure hash algorithm SHA-2 512. The obtained results show that the proposed approach achieved more security of the worker privacy with a low overhead. Furthermore, the experimental results indicate that the MCPP approach reduces the communication overhead, also, has better implementation time and processing than the third-party approach. 
Supervisor : Dr. Maysoon Abulkhair 
Thesis Type : Master Thesis 
Publishing Year : 1439 AH
2018 AD 
Added Date : Monday, June 4, 2018 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
أمل عبدالله البلاليAlbilali, Amal AbdullahResearcherMaster 

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